The mission of this group is to bring together utility professionals in the power industry who are in the thick of the digital utility transformation. 


Latest Cloud Computing Trends for Utilities

image credit: © Jakub Jirsak |
Julian Jackson's picture
Staff Writer, Energy Central BrightGreen PR

Julian Jackson is a writer whose interests encompass business and technology, cryptocurrencies, energy and the environment, as well as photography and film. His portfolio is here:...

  • Member since 2020
  • 478 items added with 175,400 views
  • Sep 27, 2022

There are significant advantages for utilities which embrace cloud computing. The cloud can be less expensive, more reliable, more secure and can also innovate more quickly than in-house ICT departments.

The cloud's on-demand computing systems and standardized software tools make it easier for utilities to run their operations without having to devote resources to installing and maintaining in-house ICT departments or developing their own software.

With cloud computing, utilities need only pay for the assets they are using, including CPU, memory or storage capacity, and this can be increased or decreased quickly, depending on operational requirements.


Cloud Developments in AI

The development and evolution of cloud and AI are closely entwined. As AI becomes more advanced and capable, it will mesh with cloud computing applications, thus playing a major role in infrastructure development and end-user delivery.

Generally, machine learning and AI platforms need high processing power and data bandwidth, capabilities that are more easily expanded via the cloud than any system. That is, the two technologies complement each other to the maximum extent.

AI helps cloud services manage data while procuring reliable insights into user behavior, trends, interactions with customer-facing staff and many other information points. Again, the cost of creating AI could be spread across many users in the cloud, so the initial development costs could be reduced.


Two Modern Applications

Creative algorithms are programs that use machine learning to create anything from art to synthetic data to aid in system modeling. They can also train other AI programs.

Language modeling: as computers grow more able to understand human language and react to it, this will change the way utilities interact with customers.


Hybrid Cloud Computing

This is defined as the integration of a private server (or 'cloud') based in a data center on utility premises, intersecting with a public cloud based elsewhere. The rationale behind this is that some mission critical functions for utilities need to be kept secure, whereas other functions, like public information, reporting minor incidents, maintenance and weather reports can be maintained at a lower cost in the cloud.

There are definitely reasons for utilities to adopt cloud computing for some of their operations, and this will increase in future.


No discussions yet. Start a discussion below.

Julian Jackson's picture
Thank Julian for the Post!
Energy Central contributors share their experience and insights for the benefit of other Members (like you). Please show them your appreciation by leaving a comment, 'liking' this post, or following this Member.
More posts from this member

Get Published - Build a Following

The Energy Central Power Industry Network is based on one core idea - power industry professionals helping each other and advancing the industry by sharing and learning from each other.

If you have an experience or insight to share or have learned something from a conference or seminar, your peers and colleagues on Energy Central want to hear about it. It's also easy to share a link to an article you've liked or an industry resource that you think would be helpful.

                 Learn more about posting on Energy Central »